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Original Article

Sex- and age-specific associations between major depressive disorder and metabolic syndrome in two general population samples in Germany

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Pages 611-620 | Received 02 Dec 2015, Accepted 13 May 2016, Published online: 14 Jun 2016
 

Abstract

Background and aims: Major depressive disorder (MDD) has been associated with the Metabolic Syndrome (MetS). As previous data strongly suggested sex and age effects on this association, this study aimed to analyse the association between MDD and MetS in two general population samples under explicit consideration of sex and age.

Methods: This study analysed cross-sectional data based on two independent general population samples: SHIP-0 (n = 4083; 20–81 years; 49.4% male) and SHIP-TREND-0 (n = 3957; 20–83 years; 49.0% male) that were part of the Study of Health in Pomerania. MDD (SHIP-0: 12.6%; SHIP-TREND-0: 27.2%) was assessed using the Composite International Diagnostic-Screener (CID-S) in both samples. Interview assessment of MDD diagnosis according to Diagnostic and Statistical Manual of Mental Disorders IV (DSM-IV) criteria was performed in SHIP-TREND-0 (18.1% MDD). MetS was defined by abdominal obesity, elevated blood pressure, elevated glucose, elevated triglycerides and reduced high-density lipoprotein cholesterol according to established criteria. Data analysis was performed sex- and age-stratified.

Results: Prevalence of MetS was high in both samples: 19.4% of females and 30.2% of males in SHIP-0 and 22.1% and 33.2% in SHIP-TREND-0, respectively. Effect modifications were observed by sex and age on the association between MDD and MetS. Particularly, younger females (20–49 years) with MDD were more often affected by MetS than younger females without MDD: OR = 2.21 (95% CI = 1.39–3.50). This association vanished in elderly participants (50–82 years).

Conclusion: The data suggest that especially younger (presumably pre-menopausal) females with MDD are more likely to have MetS than those without major depressive disorders, and that age extenuates this association.

Acknowledgements

SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (Grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs, and the Social Ministry of the Federal State of Mecklenburg-West Pomerania. This work was also funded by Federal Ministry of Education and Research (GANI_MED; Grant no. 03IS2061A) and the German Research Foundation (DFG: GR 1912/5-1). Sandra Van der Auwera was supported by the German Federal Ministry of Education and Research (BMBF) within the framework of the e:Med research and funding concept (Integrament; Grant no. 01ZX1314E).

Disclosure statement

The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper. Hans J. Grabe has received funding by the German Research Foundation, the German Federal Ministry of Education and Research, the DAMP Foundation, and speakers honoraria from SERVIER and Eli Lilly.

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